GenAlgo
Classes and Methods to Use Genetic Algorithms for Feature Selection
Defines classes and methods that can be used to implement genetic algorithms for feature selection. The idea is that we want to select a fixed number of features to combine into a linear classifier that can predict a binary outcome, and can use a genetic algorithm heuristically to select an optimal set of features.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
2.2.1 |
rolling linux/jammy R-4.5 | GenAlgo_2.2.1.tar.gz |
436.0 KiB |
2.2.1 |
rolling linux/noble R-4.5 | GenAlgo_2.2.1.tar.gz |
436.0 KiB |
2.2.1 |
rolling source/ R- | GenAlgo_2.2.1.tar.gz |
436.0 KiB |
2.2.1 |
latest linux/jammy R-4.5 | GenAlgo_2.2.1.tar.gz |
436.0 KiB |
2.2.1 |
latest linux/noble R-4.5 | GenAlgo_2.2.1.tar.gz |
436.0 KiB |
2.2.1 |
latest source/ R- | GenAlgo_2.2.1.tar.gz |
436.0 KiB |
2.2.1 |
2026-04-26 source/ R- | GenAlgo_2.2.1.tar.gz |
436.0 KiB |
2.2.1 |
2026-04-23 source/ R- | GenAlgo_2.2.1.tar.gz |
436.0 KiB |
2.2.1 |
2025-04-20 source/ R- | GenAlgo_2.2.1.tar.gz |
436.0 KiB |